The future of AI in pathology hinges on robust digital infrastructure rather than solely on advanced algorithms, according to Promise Okeke, CEO of NovoPath. While foundation models and algorithms can analyze slides and identify anomalies, their effectiveness is critically dependent on the underlying digital systems. This includes ensuring accurate specimen identity chains from the point of creation and establishing a closed-loop system where AI outputs can be integrated back into the laboratory information system (LIS) for actionable insights. Without this foundational digital infrastructure, the potential value of AI in pathology cannot be fully realized, and labs risk inefficiencies and data errors. AI
IMPACT Effective AI implementation in pathology requires a strong digital foundation, including accurate specimen tracking and integrated systems, before advanced algorithms can deliver full value.
RANK_REASON The item is an opinion piece by a CEO discussing the importance of infrastructure over algorithms for AI in pathology.
- digital pathology
- foundation model
- image scanner
- laboratory information management system
- pathology
- Promise Okeke
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